This research aimed to identify the sources of driving stress, to study the nature of driving stress, and to define its relationship with stressors. The ultimate goal was to identify parameters that can be used as actuators to control driver stress level for truck drivers. To achieve these objectives, the data acquisition was conducted for adult novice truck drivers participating in truck driving training. The data analysis showed two distinct clusters of stress, categorized as “Low Stress Level” and “High Stress Level.” The binary logistic model was used to identify the events that significantly changed the probability of a driver being at high stress level. Thirteen parameters were found to be statistically significant in altering the stress level. The truck driving training sessions were found to be useful in lowering the stress. Drivers’ predisposition to stress, such as trait anxiety score and state anxiety score were found to be statistically significant. Right turn maneuvers, the presence of STOP as control, passive overtaking, coaxial acceleration, and lateral velocity significantly impacted stress levels. Similarly, the road types collector and minor arterial, and the time elapsed from start to the instant of driving, were also found to be significant. In conclusion, the study identified three main strategies that could be used to reduce driver stress level for truck drivers: i) truck driver training, ii) level of service of segments and improvement of the intersection in terms of geometry and traffic control, and iii) the avoidance of long, continuous driving.